William Hendrix

688 citations
27 papers · 363 · h-index 9

Impact in

Papers in

William Hendrix

26 papers receiving 347 citations

Peers

William Hendrix
Comparison fields: 5 of 71
  • Statistical and Nonlinear Physics 98
  • Hardware and Architecture 48
  • Computer Networks and Communications 142
  • Communication 42
  • Artificial Intelligence 168
Replace Zekai J. Gao with:
Zekai J. Gao United States
Weiren Yu China
Amitabha Bagchi India
Guoyong Cai China
Gilles Trédan France
Giovanni Comarela Brazil
Luke K. McDowell United States
Hongfei Yan China
Steve Harenberg United States
Taejoong Chung United States
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Citations per field
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Citations per year

Countries citing papers authored by William Hendrix

Since Specialization
Citations

This map shows the geographic impact of William Hendrix's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William Hendrix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Hendrix more than expected).

Fields of papers citing papers by William Hendrix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Hendrix. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William Hendrix. The network helps show where William Hendrix may publish in the future.

Co-authors

The 25 scholars most cited alongside William Hendrix, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Hendrix Line = papers co-authored together William Hendrix links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201267
2 201165
3 201449
4 201443
5 201025
6 201525
7 201214
8 201213
9 201312
10 20117
11 20166
12 20086
13
Proceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
20155
14 20104
15 20153
16 20143
17 20083
18
Discovery of Enriched Biological Motifs Using Knowledge Priors with Application to Biohydrogen Production.
20102
19 20092
20 20142

About William Hendrix

William Hendrix is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Molecular Biology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 363 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Bioinformatics and Genomic Networks (6 papers), Opinion Dynamics and Social Influence (4 papers), Gene expression and cancer classification (4 papers), Advanced Clustering Algorithms Research (3 papers), Data Management and Algorithms (2 papers), Error Correcting Code Techniques (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (98 citations), Hardware and Architecture (48 citations), Computer Networks and Communications (142 citations), Communication (42 citations) and Artificial Intelligence (168 citations). William Hendrix has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Zhengzhang Chen, Wei‐keng Liao, Alok Choudhary, Nagiza F. Samatova, Ankit Agrawal, Diana Palsetia, Seung Woo Son, Kathy Lee, Alok Choudhary and Jin Ye. Their work appears in journals such as Theoretical Computer Science, Communications of the ACM, Modern Language Journal, Data Mining and Knowledge Discovery and Journal of Intelligent Information Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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